|
--- |
|
license: apache-2.0 |
|
--- |
|
|
|
<img src="ACE-logo.png" alt="Logo for the ACE Project" style="width: auto; height: 50px;"> |
|
|
|
# ACE-climSST |
|
|
|
Ai2 Climate Emulator (ACE) is a family of models designed to simulate atmospheric variability from the time scale of days to centuries. |
|
|
|
**Disclaimer: ACE models are research tools and should not be used for operational climate predictions.** |
|
|
|
ACE-climSST is the original ACE model, as described in [ACE: A fast, skillful learned global atmospheric model for climate prediction](https://arxiv.org/abs/2310.02074). |
|
It is trained on output from the FV3GFS atmospheric model forced with annually-repeating climatological sea surface temperature. |
|
|
|
Quick links: |
|
- 📃 [Paper](https://arxiv.org/abs/2310.02074) |
|
- 💻 [Code](https://github.com/ai2cm/ace) |
|
- 💬 [Docs](https://ai2-climate-emulator.readthedocs.io/en/stable/) |
|
- 📂 [All Models](https://huggingface.co/collections/allenai/ace-67327d822f0f0d8e0e5e6ca4) |
|
|
|
Briefly, the strengths of ACE-climSST are: |
|
- long-term stability, |
|
- highly accurate time-mean climate compared to its target dataset, |
|
- very fast inference compared to typical physics-based atmospheric models. |
|
|
|
Some known weaknesses are: |
|
- responses to El Niño-like sea surface temperature variability and long-term warming trends are not accurately captured, |
|
- small but non-zero drifts in total dry air mass of the atmosphere. |
|
|
|
Note the checkpoint provided here is the same as the one in [this Zenodo repository](https://zenodo.org/records/10791087), just with the optimizer state removed to decrease the checkpoint size. |
